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Machine Learning Engineer 2, R&D

Cae Usa Inc.** (M)

Location: Tampa, FL, 33634
Type: Full-Time, Permanent, Non-Remote
Posted on: July 16, 2021
This job is no longer available from the source.
Job Description
Reference #: 73562
Role and Responsibilities
Summary
Your mission is to design and implement scalable Machine Learning (ML) and Deep Learning (DL) systems, products, and solutions. You will bridge the gap between the academic world of data science with products that our customers will use.
Essential Duties and Responsibilities
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Be a key contributor to the AI & Data Science Strategies
• Collaborate with data engineers, developers, and technical leads to deliver AI-based systems that can be deployed both in the cloud and on edge using Azure, containers and Kubernetes.
• Build deep learning-based training pipelines, leveraging latest deep learning and machine learning libraries.
• Measure and optimize the quality of deployed algorithms and models.
• Build and maintain Application Programming Interfaces (APIs) and/or Software development kit (SDKs) that will expose the models to application developers
• Build and maintain the CI/CD pipeline for ML. Think DevOps for ML.
Be an active member of the business transformation
• Work with stakeholders including the Executives, CX, and Digital Product teams to assist with related technical conversations and support their AI-based product needs.
Be an inspirational and motivational colleague
• Share knowledge with team members & participate in various learning-sharing activities
• Contribute to the collaborative and stimulating work environment
• Be a change agent & Agile mindset promoter
• Be connected to the industry to know tendencies and suggest innovative ideas
Qualifications and Education Requirements
• Must be eligible for DoD Personal Security Clearance
• Bachelor's degree in Computer Science, Engineering, or related quantitative field.
• Understanding of data structures, data modeling and software architecture.
• Solid understanding of probability, statistics, and mathematics
• A minimum of 3 years industry experience working with data, coding and scripting (Python/Java/Scala/C/C#/Bash).
• (Python/Java/Scala/C/C#/Bash).
• A minimum of 2 years experience developing secure and scalable web APIs
• A minimum of 2 years experience training, deploying, and monitoring machine learning models with extensive knowledge of evaluation metrics and best practices
• Experience with machine learning frameworks/libraries (Keras, Tensorflow, PyTorch, scikit-learn) and big data tools: Hadoop, Spark, Kafka.
• Experience with relational SQL and NoSQL databases, including SQL Server, CosmosDB, MongoDB, Cassandra
• Experience with automated data pipeline and workflow management tools: DevOps, ARM, Data Factory, Airflow.
• Experience with Microsoft Azure cloud services: Machine Learning, Databricks (or Apache Spark), Data Factory, SQL Data Warehouse.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience within an Agile environment (i.e. user stories, iterative development, continuous integration, continuous delivery, shared ownership, etc.)
• Willingness to participate in all levels of project work when necessary.
• Excellent written and verbal communication skills.
• A passion for bringing AI to production
Security Responsibilities
Must complywith all company security and data protection / usage policies and procedures. Personally responsible for proper marking and handling of all information and materials, in any form. Shall not divulge any information, or afford access, to other employees not having a need-to-know. Shall not divulge information outside company without management approval. All government and proprietary information will be accessed and stored electronically on company provided resources.
Work Environment and Physical Demands
• May be required to sit down for long lengths of time.
• May be required to climb stairs.
• Must be able to travel CONUS and to International sites
• Must be able to climb stairs to enter and exit a simulator
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
• Moderate to high levels of stress, associated with technical, schedule, and customer issues are to be expected with this position. Extended work hours and possible 2nd and 3rd shift assignments are likely to be encountered.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for their job. Duties, responsibilities, and activities may change at any time with or without notice.
We are an EOE/AA employer and give consideration for employment to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you'd like more information about your EEO rights as an applicant under the law, please click here EEO is the Law poster .
PAY TRANSPARENCY NONDISCRIMINATION PROVISION The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. .
#LI-LS1
Position Type
Regular
CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.
Equal Employment Opportunity
At CAE, everyone is welcome to contribute to our success. With no exception.
As captured in our overarching value "One CAE", we're proud to work as one passionate, boundaryless and inclusive team.
At CAE, all employees are welcome regardless of race, nationality, colour, religion, sex, gender identity or expression, sexual orientation, disability or age.
The masculine form may be used in this job description solely for ease of reading, but refers to men, women and the gender diverse.
CAE is firmly committed to ensuring a positive and professional working environment in which all people are treated with dignity and respect. We aim to provide a fair and consistent method for filling job openings in support of equality of opportunity and cultural diversity within the company.
Compensation and Hours
Salary Range: Not Available DOE (Depends on Experience) Not Available Other Benefits: Not Available Full or Part Time: Full Time (30 Hours or More) Job Duration: Over 150 Days Type of Job: Regular
Shift: Not Applicable
Hours per Week:
Hours Not Specified
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